---

name: alibabacloud-ecs-code-deploy description: Install Alibaba Cloud CLI (aliyun) and deploy projects to Alibaba Cloud ECS using aliyun appmanager commands. Use when the user wants to deploy applications or AI agents to ECS, set up aliyun CLI, or use appmanager init/deploy/status/delete commands.

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Deploy to Alibaba Cloud ECS via aliyun appmanager

Overview

aliyun appmanager is an Agent-friendly CLI tool for one-click deployment of applications (App) and AI Agents to Alibaba Cloud ECS. It supports non-interactive mode (--non-interactive), structured JSON output (--output json), and streaming NDJSON responses.

Default behavior: When user invokes /alibabacloud-ecs-code-deploy without specifying a project path or URL, deploy the current working directory project to Alibaba Cloud ECS. If user provides a git URL, clone it to the current directory first, then cd into the cloned directory and proceed with deployment.

EXECUTION ORDER: The Agent MUST follow the "Complete Deployment Workflow" section at the bottom of this document for the correct execution sequence. The Task sections below are organized by topic for reference — their numbering does NOT imply execution order.

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MANDATORY: Create Todo List Before Starting

Before executing any step, the Agent MUST create a todo list with ALL of the following items. Do NOT omit any item. Do NOT start deployment until the todo list is created.

Todo list (Deploy to Alibaba Cloud ECS):
  [ ] 0. Resolve $SKILL_DIR (cross-platform path — MUST run first; see "Step 0" below)
  [ ] 1. Environment pre-check (MUST run deploy_toolkit.py check; manual commands FORBIDDEN as replacement)
  [ ] 2. Obtain project (clone git URL here if needed; skip for local projects)
  ── Check whether .appmanager/config.yaml already exists (repeat-deploy shortcut) ──
  │  Exists + new ECS (no instanceId)      → skip 3-5, start from 5.5 (price check)
  │  Exists + existing ECS (has instanceId) → skip 3-5.5, jump to 6 (deploy)
  │  Does not exist                        → proceed normally from 3
  ───────────────────────────────────────────────────────────────────────────────
  [ ] 3. Read project (README.md -> quick-deploy method) + identify type (agent / app)
  [ ] 4. Ask user for deployment config (region + new ECS / existing ECS)
  [ ] 5. Init + generate scripts (appmanager init -> write start/stop scripts to config.yaml)
  [ ] 5.5. Pre-deploy price check + risk warning (MUST run deploy_toolkit.py price; confirm price / OSS billing / existing-ECS impact / group overwrite item by item)
  [ ] 6. Deploy (MUST run deploy_toolkit.py deploy; manual deploy command FORBIDDEN as replacement)
  [ ] 7. Verify (MUST run deploy_toolkit.py verify; manual status command FORBIDDEN as replacement)
  [ ] 8. Output final result (console link + cost reminder + management commands)

⛔ SCRIPT-FIRST RULE: Steps 1, 5, 6, 7 have a dedicated toolkit script at $SKILL_DIR/scripts/deploy_toolkit.py (where $SKILL_DIR is resolved in Step 0 below — works on Qoder, Claude Code, and any other platform). The Agent MUST run the corresponding subcommand DIRECTLY as the FIRST and ONLY action for that step — NEVER run manual CLI commands (like aliyun version, version checks, credential checks) BEFORE or INSTEAD of the script. The script already handles ALL checks internally. Manual commands are ONLY allowed as fallback if the script file itself does not exist.

❌ WRONG (Step 1): Run aliyun version → check version → run ~/.aliyun/appmanager-venv/bin/python ... → check version → THEN run deploy_toolkit.py check ✅ CORRECT (Step 1): Run python3 "$SKILL_DIR/scripts/deploy_toolkit.py" check → if exit 1, fix the issue it reports → if script file missing, THEN fall back to manual checks

Item 6 is NON-NEGOTIABLE. An Agent that skips log verification and directly outputs "deployment succeeded" has NOT completed this skill correctly. If deploy_toolkit.py verify exits 1 (failed), the Agent MUST fix the issue and re-deploy before proceeding to item 7.

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Step 0 (MANDATORY): Resolve $SKILL_DIR — Cross-Platform Path

The toolkit script lives at <skill-root>/scripts/deploy_toolkit.py. Different platforms install skills to different locations (Qoder/Claude Code/Qwen/...). The Agent MUST resolve the absolute skill root once at session start and reuse it everywhere $SKILL_DIR appears below. Hardcoding any platform-specific path is FORBIDDEN.

See references/skill-dir-resolution.md for the full 10-candidate detection algorithm, the export + test -f verify snippet, and Pattern A / Pattern B / ⛔ Anti-pattern usage rules.

Quick recap (read the reference for details):

• ✅ Pattern A (persistent shell): export SKILL_DIR="/abs/path" then later python3 "$SKILL_DIR/scripts/deploy_toolkit.py" <sub>
• ✅ Pattern B (fresh shell per call): inline the absolute path — python3 "/abs/path/scripts/deploy_toolkit.py" <sub>
• ⛔ Anti-pattern: SKILL_DIR=/path python3 "$SKILL_DIR/..." — outer shell expands $SKILL_DIR BEFORE the prefix assignment, producing /scripts/deploy_toolkit.py and ENOENT. If you see python3: can't open file '/scripts/deploy_toolkit.py', switch to Pattern A or B.

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Task 1: Install Alibaba Cloud CLI

Primary action: Run python3 "$SKILL_DIR/scripts/deploy_toolkit.py" check — it checks CLI version + appmanager-cli version + credentials in one run. Only if the script file is missing, use the fallback in references/init-and-credentials.md.

MUST — Handling unmet environment prerequisites: When check exits 1 because the aliyun CLI is missing or older than 3.3.19 (or appmanager-cli is missing/outdated), the Agent MUST NOT stop the workflow silently. The required flow is: 1. CLI NOT installed → Auto-install directly without asking user — execute the install command (see snippet below or references/init-and-credentials.md for the right arch), then re-run deploy_toolkit.py check to confirm. 2. CLI already installed → ASK the user first — show the detected version + the required version + the upgrade command, and ask for explicit consent (e.g. "aliyun CLI 3.3.4 is already installed but below the required >= 3.3.19 for appmanager; approve upgrade (overwrite-install into /usr/local/bin, requires sudo)?"). Never assume yes; never paste credentials. - On approval — execute the install/upgrade command, then re-run deploy_toolkit.py check to confirm. - On refusal — stop with the refusal as the reason. Do NOT continue with the older version (deployment will fail anyway).

The toolkit's check output already includes an → AGENT: DO NOT stop. ASK user ... line for each fixable issue — follow it verbatim (except for the "not installed" case, which is auto-handled).

MUST — Upgrade method priority (avoid the "repeated upgrade" pitfall: /usr/local/bin/ is often shadowed by earlier PATH entries like /opt/homebrew/bin): 1. brew-managed (check prints "managed by Homebrew") -> brew upgrade aliyun-cli; do NOT overwrite /usr/local/bin/ again. 2. sudo available -> overwrite into /usr/local/bin/, then verify: hash -r && which -a aliyun && aliyun version. 3. No sudo -> install to ~/bin/, ask user to approve appending export PATH="$HOME/bin:$PATH" to ~/.zshrc / ~/.bashrc.

After install/upgrade, ALWAYS rerun deploy_toolkit.py check to confirm. If which -a aliyun still shows the old binary first, fix PATH order — DO NOT repeat the same overwrite.

AI-Mode Configuration (MANDATORY after CLI install)

⛔ MUST configure AI-Mode: Agent MUST ensure AI-Mode is properly configured before running any aliyun appmanager commands. deploy_toolkit.py check handles this internally; the commands below are for manual fallback only.

aliyun configure ai-mode enable
aliyun configure ai-mode set-user-agent --user-agent "AlibabaCloud-Agent-Skills/alibabacloud-ecs-code-deploy"
aliyun plugin update
aliyun configure ai-mode show   # verify: enabled=true, user-agent set
aliyun configure ai-mode disable # only when troubleshooting

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Task 2: Configure Credentials

deploy_toolkit.py check already validates credentials. Only if credentials are missing/invalid, see references/init-and-credentials.md for the default-credential-chain remediation flow.

⛔ PREFER OAuth OVER AK: This skill SHOULD guide users to use OAuth authentication as the PRIMARY method for providing Alibaba Cloud permissions. OAuth is more secure and convenient than AccessKey (no long-term secret storage needed). The Agent MUST present OAuth as the first option before mentioning AK-based methods.

OAuth Login Guide: Instruct the user to run the following command in their terminal: bash aliyun configure --mode OAuth --profile oauth This is an interactive command that will: 1. Open a browser with an authorization link — user clicks to authorize 2. Prompt for region (e.g. cn-hangzhou, cn-beijing) — user enters their preferred region 3. Prompt for language (e.g. zh) — user enters their preferred language

After OAuth setup completes, verify with: aliyun sts get-caller-identity --profile oauth

⛔ SA-2.12 — DO NOT explicitly handle AK/SK: This skill MUST rely on the aliyun CLI/SDK default credential chain (OAuth / ECS RAM Role / env vars / pre-existing ~/.aliyun/config.json). The Agent NEVER asks the user to paste AccessKey/Secret/STS-Token values into the chat, NEVER puts raw AK/SK in tool-call arguments or scripts, and NEVER echoes credential values. When credentials are missing, instruct the user to configure them out-of-band (their own terminal/shell profile/RAM role) and only re-verify via aliyun sts get-caller-identity. Full remediation flow → references/init-and-credentials.md.

CRITICAL PROHIBITION: NEVER run standalone appmanager or aliyun appmanager login.

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Task 3: Initialize Project

Step 1 (MANDATORY): Read README.md FIRST

CRITICAL ORDERING RULE: Before scanning any project files, the Agent MUST read README.md (or README) in the project root. This is ALWAYS the first action in Task 3.

What to extract from README: - Quick-start / deploy commands (e.g. pip install -r requirements.txt && python main.py, npm install && npm start) - Official build/run commands, Docker deploy methods, port number, required environment variables

MANDATORY: Present README Methods to User and Follow Decision Tree

Step A: List what README provides to the user.

Step B: Select method by priority:

Priority	Method Type	Action
1 (HIGHEST)	Native CLI / package manager install (npm install -g, pip install, go install)	Use directly
2	Native build + run (pip install && python main.py, npm install && npm start)	Use, install runtime
3	Script-based deploy (bash deploy.sh)	Must confirm non-interactive
4 (LOWEST)	Docker / docker-compose	Only when no higher priority exists; check China accessibility

Step C: Execute based on scenario: - README has native method (priority 1/2) → Use it directly as start script core. NEVER ignore README and build from scratch. - README only has Docker → Check image accessibility (see references/script-templates.md "Docker Image Accessibility Check"). Warn user about China mirror risks. - README has no deploy info / absent → Agent scans project files independently (only allowed case).

Why README first? Most projects document the exact build/run commands. Auto-detecting from files alone is error-prone.

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Step 2: Determine project type

Condition	Type
Project depends on agentscope	agent
Everything else (langchain, mcp, autogen, web services, tools, etc.)	app

Determine --name

Use the project directory name (lowercased, hyphens). Inform user: Default app name uses the directory name <name>.

Determine --region and ECS target (MUST ask user)

Agent MUST ask both questions together in ONE message:

1. Which region do you want to deploy to? - Shanghai (cn-shanghai) / Hangzhou (cn-hangzhou) / Beijing (cn-beijing) / Shenzhen (cn-shenzhen) / Guangzhou (cn-guangzhou) / Chengdu (cn-chengdu) / Nanjing (cn-nanjing) / Hong Kong (cn-hongkong)

2. New ECS or existing ECS? - New ECS (auto-create instance, pay-as-you-go) - Existing ECS (please provide the instance ID, e.g. i-bp1xxxxxxxx)

NEVER use zone-based labels like "East China 1" / "North China 2". NEVER add descriptions. City names only.

⚠️ REGION PROPAGATION CHECK (MANDATORY): The chosen region MUST be passed verbatim to appmanager init --region, written into config.yaml common.deployment.regionId, AND attached as --region <REGION_ID> to every subsequent deploy_toolkit.py {price,deploy,verify} invocation. Mismatch / omission triggers InvalidParameter: DeployRegionId is invalid from the OOS API.

Determine --port (App type only, OPTIONAL)

Only specify when the project actually listens on HTTP. Skip for background services (bots, workers, CLI tools). If needed but unknown, default to 8080. Agent type does NOT use --port.

Non-interactive init

See references/init-and-credentials.md for all init flag combinations.

Creates .appmanager/config.yaml. Does NOT support --overwrite — delete .appmanager/ first if exists.

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Task 4: Generate Deploy Scripts

For ALL project types, the Agent MUST generate deployment scripts and write them into .appmanager/config.yaml.

Workflow

1. Read README.md FIRST — follow Task 3 decision tree
2. If README has no deploy info — scan project structure (Language Detection below)
3. Docker accessibility check — if Docker path selected (see references/script-templates.md)
4. Generate start & stop scripts — following rules below. Start script MUST ALWAYS include zip extraction sequence.
5. Write to config.yaml — under common.scripts.start and common.scripts.stop (NEVER top-level scripts)

Language Detection Rules

Indicator Files	Language
package.json / *.js / *.ts	Node.js
requirements.txt / pyproject.toml / *.py	Python
pom.xml / build.gradle / *.java	Java
go.mod / *.go	Go
composer.json / *.php	PHP
docker-compose.yml / Dockerfile	Docker

Files to Read (MUST read content, not just detect presence)

Language	Must Read	Why
Python	pyproject.toml, requirements.txt	Entry point, deps
Node.js	package.json	scripts.start, main field
Java	pom.xml or build.gradle	JAR name
Go	go.mod	Module → binary name
PHP	composer.json	Framework detection
Docker	docker-compose.yml / Dockerfile	Services, ports

Entry Point Detection Order

• Python: [project.scripts] in pyproject.toml → main.py → app.py → manage.py
• Node.js: scripts.start → main field → index.js → server.js
• Java: find ... -name "*.jar" | head -1 → java -jar
• Go: Pre-compiled binary: find ... -type f -perm /111
• PHP: composer install --no-dev → php artisan serve or php -S
• Docker Compose: docker compose up -d / docker compose down

General Script Rules

Rule	Requirement
⛔ MANDATORY zip extract	Start script MUST: find zip → mkdir -p → unzip -o → cd. Without this, project dir DOES NOT EXIST on ECS
Runtime install	MUST install language runtime FIRST (ECS is bare)
Install unzip	command -v unzip &>/dev/null \|\| $PKG_MGR install -y unzip
Idempotent	Safe to run multiple times
⛔ Log file FIXED path	MUST be /root/app.log and /root/app.pid. verify script hardcodes these paths
Log append	Always >> (never >)
PID file	echo $! > /root/app.pid after nohup ... &
Background run	nohup ... >> /root/app.log 2>&1 &
Stop old process	[ -f /root/app.pid ] && kill "$(cat /root/app.pid)" 2>/dev/null \|\| true
App dir	/root/{app_name}
No heredoc	NEVER use << 'EOF' inside scripts — breaks YAML. Use printf or python3 -c
MANDATORY tail log	End with sleep 3 && cat /root/app.log for verification capture
⛔ Stop script: NO exit	MUST NOT contain exit. Deploy system concatenates stop+start — exit kills the entire process

ECS instances are bare Linux (typically Alibaba Cloud Linux, RHEL-based, uses yum/dnf).

For script templates, language install commands, and config.yaml writing method, see references/script-templates.md.

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Task 4.5: Pre-deploy Price Check + Risk Warning

MANDATORY: Before deploying, run deploy_toolkit.py price. The script outputs the price estimate (with OSS extra-billing reminder) and, when applicable, a risk warning block. The Agent MUST present every flagged item to the user and obtain explicit confirmation BEFORE running deploy.

python3 "$SKILL_DIR/scripts/deploy_toolkit.py" price --config .appmanager/config.yaml

• Exit 0 + === AGENT_CONFIRM_REQUIRED ===: present the complete price + risk warning to the user, confirm item by item.
• Exit 1: price query failed; do NOT proceed to deploy.

The Agent MUST confirm up to 3 items (price + OSS fees / existing-ECS risk / group overwrite choice) — see references/deploy-output-and-management.md § "Pre-deploy Price Check: Confirmation Items" for detailed descriptions and example phrasing.

Until ALL applicable confirmations are complete, the Agent MUST NOT invoke deploy_toolkit.py deploy.

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Task 5: Deploy

aliyun appmanager <agent|app> deploy --overwrite --output json

STOP after deploy success — status: success only means orchestration completed. Agent MUST run Task 6 verification before outputting results.

Handling deployment failure

⛔ MANDATORY FAILURE GATE: After ANY deploy failure (exit 1, timeout, or ReleaseCancelled), the Agent MUST run deploy_toolkit.py verify IMMEDIATELY — BEFORE any fix attempt, fallback to manual commands, or partial output. Skipping verify after a failure is FORBIDDEN and counts as skill failure.

Semantics of ReleaseCancelled: it means the start script on ECS failed or timed out. It does NOT mean "someone cancelled the deploy". The only correct next action: run deploy_toolkit.py verify -> read the log -> fix the script -> redeploy.

Known failure patterns: Before ad-hoc troubleshooting, check references/lessons-learned.md for previously identified deployment failure patterns and proven fixes.

Failure-handling flow: 1. Run deploy_toolkit.py verify to fetch /root/app.log (DO NOT skip). 2. Analyze the log to locate root cause. 3. Fix scripts and redeploy (max 3 attempts). 4. After 3 failures, stop — report the error, but still output console link + cost reminder + delete command.

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Task 6: Post-deploy Verification (BLOCKING)

status: Deployed does NOT mean the application is running. The Agent MUST run verify and semantically analyze the log.

1. Run deploy_toolkit.py verify (auto-reads parameters from config.yaml).
2. Agent semantically analyzes the log to decide whether the application actually started successfully.
3. Not running -> diagnose -> fix -> redeploy + verify (max 3 attempts).
4. Only when running is confirmed / user manual action required / 3 attempts failed should the Agent output the final result.

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Task 7 & 8: List, Delete, Validate & Final Output

See references/deploy-output-and-management.md for: - List/Delete commands - Config validation - Config template reference - Critical notes & pitfalls - MANDATORY post-deploy output format (console link, cost reminder, usage guide)

Pre-output Gate — Self-check (⛔ BLOCKING)

Before outputting results, Agent MUST print the exact Deployment self-check report template (see Workflow Step 7.5). Skipping the report = skill failure (not an optional summary). If any item is ❌, fix it BEFORE outputting Step 8.

📘 Hands-on walk-through with concrete inputs/outputs and edge cases (Python Flask example): see references/tutorial-flask-app.md.

Complete Deployment Workflow

⛔ MANDATORY EXECUTION RULE: The Agent MUST follow this sequence exactly. For steps that specify a script (steps 1, 5, 6), the Agent MUST run the script — NEVER manually replicate the script's logic with individual commands. The Task sections above are REFERENCE ONLY (for understanding what the scripts do internally or as fallback if scripts are missing).

0. Resolve $SKILL_DIR (MANDATORY — see "Step 0" section above for full algorithm)

→ Detect the absolute directory containing THIS SKILL.md (most accurate)

→ Or fall back to platform-specific candidates: ~/.qoder/skills/..., ~/.claude/skills/..., ~/.qwen/skills/..., $SKILLS_HOME/..., etc.

→ Pattern A (persistent shell): export SKILL_DIR= ; verify $SKILL_DIR/scripts/deploy_toolkit.py exists ; reuse $SKILL_DIR everywhere

→ Pattern B (fresh shell per command): inline the absolute path — python3 "/abs/path/scripts/deploy_toolkit.py" ...

→ ⛔ NEVER use SKILL_DIR=/path python3 "$SKILL_DIR/..." — outer shell expands $SKILL_DIR

BEFORE the prefix assignment, producing /scripts/deploy_toolkit.py and ENOENT.

1. Environment check (MUST use deploy_toolkit.py check — DO NOT run manual commands)

python3 "$SKILL_DIR/scripts/deploy_toolkit.py" check

⛔ FORBIDDEN: running aliyun version, ~/.aliyun/appmanager-venv/bin/python -c "...",

credential checks, or ANY manual version-check commands before or instead of this script.

The script checks ALL of: CLI version + appmanager-cli version + credentials in one run.

Just run the script. Period.

→ If exit 0: all checks passed, proceed to step 2

→ If exit 1, address the issue printed by the script:

⚠️ DO NOT stop silently. For every fixable ❌ line the script prints,

Agent MUST follow the flow below:

- aliyun CLI NOT installed: AUTO-INSTALL directly (no need to ask user)

- aliyun CLI already installed but outdated: ASK user to approve upgrade

(covers to /usr/local/bin, needs sudo), then run the install command

printed by the script (see Task 1).

- appmanager-cli < 1.1.1 or BROKEN venv: ASK user to approve

rm -rf ~/.aliyun/appmanager-venv (auto-recreates on next aliyun

appmanager run).

⚠️ This path is fixed at ~/.aliyun/appmanager-venv (the venv is self-managed

by the aliyun CLI). After deletion, the next aliyun appmanager run

auto-recreates it. The Agent MUST use this exact literal path —

NEVER replace it with a variable or build it via concatenation,

to avoid accidentally wiping user data.

- credentials missing/invalid: present OAuth-first remediation

to the user (OAuth / RAM Role / env vars / aliyun configure interactive) — NEVER

collect AK/SK in chat. See Task 2 + references/init-and-credentials.md.

→ If user refuses any fix: stop with that refusal as the reason — DO NOT

continue with a broken environment (deployment will fail anyway).

→ If script file not found: ONLY THEN fall back to manual checks (Task 1 + Task 2)

2. Obtain project source (if needed)

→ If git URL provided: clone to CURRENT WORKING DIRECTORY, cd into cloned dir

git clone && cd

→ If local path / current directory: skip this step, use directly

🔀 REPEAT DEPLOYMENT SHORTCUT — check BEFORE step 3

→ Check if .appmanager/config.yaml already exists in the project directory

→ If YES (config.yaml exists):

Read the file and check for common.deployment.instanceId:

- instanceId ABSENT (new ECS): skip steps 3-5, jump to step 5.5 (price check)

- instanceId PRESENT (existing ECS): skip steps 3-5.5, jump to step 6 (deploy)

In both cases, inform user: "Existing .appmanager/config.yaml detected; will reuse the existing config and deploy directly."

→ If NO (config.yaml does NOT exist): proceed normally from step 3

3. Read project + identify type (agent or app)

→ READ README.md FIRST — highest priority source for deployment method:

- Agent MUST list README's methods to user and select by priority:

Native CLI install > Native build+run > Script deploy > Docker

- ❌ NEVER ignore README methods and scan project files instead

- ❌ NEVER prefer Docker when native methods are available

- Docker: ONLY when no native method exists, MUST warn user about China mirror risks

- Only if README absent/empty/no deploy info → Agent scans project files independently

→ Only classify as "agent" if project depends on agentscope; everything else is "app"

→ Determine --name from directory name, --port from project config/README

→ For Docker: check image accessibility from China (see references/script-templates.md)

4. Ask user for deployment region + ECS target (MANDATORY — ask together in one question)

→ Question 1: "Which region do you want to deploy to? Shanghai(cn-shanghai)/Hangzhou(cn-hangzhou)/Beijing(cn-beijing)/Shenzhen(cn-shenzhen)/Guangzhou(cn-guangzhou)..."

→ Question 2: "New ECS or existing ECS?" — for existing, the user must provide the instance ID, e.g. i-bp1xxxxxxxx

→ NEVER use zone-based labels like "East China 1" / "North China 2" — always use city names

→ NEVER skip the ECS choice and default to creating new

→ ⚠️ Region MUST be propagated verbatim to: appmanager init --region, config.yaml common.deployment.regionId, AND every deploy_toolkit.py --region. Mismatch → InvalidParameter: DeployRegionId from OOS API.

5. Init + generate scripts (appmanager init → write start/stop to config.yaml)

→ If .appmanager/ already exists in the CURRENT project directory, ask user before removing.

⚠️ DESTRUCTIVE: rm -rf .appmanager deletes the existing deployment config.

Required guard before deletion:

a. Confirm CWD matches the intended project directory (pwd shows expected path)

b. Confirm target is the relative path .appmanager (NEVER absolute, NEVER with variables)

c. Inform the user "About to delete the existing deployment config under ./.appmanager/. This is irreversible." and obtain consent

Recommended safer alternative: back up first

mv .appmanager .appmanager.bak.$(date +%Y%m%d%H%M%S)

Only after explicit user consent: rm -rf ./.appmanager

→ Run: aliyun appmanager init --non-interactive --name --type --region [--port ] [--ecs existing --instance-id ] [--model qwen3.6-plus --api-key "$API_KEY"]

(See references/init-and-credentials.md for full flag combinations by type)

→ Then generate start/stop scripts and write to config.yaml:

- MUST write to common.scripts.start and common.scripts.stop (NEVER top-level scripts key)

- Use python3 yaml library: config['common']['scripts'] =

- PRIORITY: README deployment commands → use directly; only auto-generate when README has none

- ⛔ MANDATORY: Start script MUST ALWAYS include zip extraction (mkdir + unzip + cd) BEFORE

any build/run commands. appmanager uploads zip but does NOT extract it.

5.5. Pre-deploy price check + risk warning (MUST run deploy_toolkit.py price — Agent handles user confirmation)

python3 "$SKILL_DIR/scripts/deploy_toolkit.py" price --config .appmanager/config.yaml

→ Script output structure:

[Price table] estimate from appmanager price (order-billed resources: ECS/EIP/bandwidth) + the trailing 📦 OSS extra-billing reminder

[Risk warning] only when detected: [Existing-ECS deployment risk] / [Group overwrite risk] / [Failure-leftover group]

→ Script does NOT ask user for confirmation — that's the Agent's job

→ If exit 0: Agent MUST read the output, present the COMPLETE breakdown to user — including:

1) Price estimate + OSS extra-billing reminder (OSS storage ~CNY 0.12/GB/month, public outbound ~CNY 0.50/GB only when cross-region, requests billed per 10k)

2) If output contains [Existing-ECS deployment risk] -> ask whether to deploy onto that existing ECS (may impact other apps on it)

3) If output contains [Group overwrite risk] -> ask user to choose A (overwrite) or B (new group)

Example: "Estimated cost: compute resources CNY X.XXX/hour (~CNY XXX.XX/month); public traffic billed by usage at CNY 0.80/GB;

the deployment also incurs minor OSS storage and request fees (intra-region pull is free of public outbound charges).

Confirm to continue?"

→ After ALL items confirmed by user: run the matching deploy command per item 3's choice (default overwrite / --force-new-group for new group)

→ If ANY item refused: STOP deployment

→ If exit 1: price query failed, show error to user, do NOT proceed

6. Deploy (MUST use deploy_toolkit.py deploy — DO NOT run deploy manually)

python3 "$SKILL_DIR/scripts/deploy_toolkit.py" deploy \ --type --name --group --region

⛔ FORBIDDEN: running aliyun appmanager deploy directly without this script

→ Handles: group status check → conflict auto-resolve → deploy

→ Exit 0: deploy submitted, proceed to step 7

→ Exit 1: ⛔ MUST run step 7 (verify) IMMEDIATELY to fetch /root/app.log;

skipping to step 8, outputting partial results, or running manual

commands instead is FORBIDDEN. Then fix script per log and redeploy

(max 3 attempts).

7. Verify (MUST use deploy_toolkit.py verify — DO NOT check status manually)

python3 "$SKILL_DIR/scripts/deploy_toolkit.py" verify \ --type --name --group --region

⛔ FORBIDDEN: running aliyun appmanager status + manual log analysis instead of this script

→ Optional: --wait for slow-starting apps (default 3s, Java/heavy use 15-30)

→ Dual-path: Cloud Assistant cat /root/app.log (preferred) → deployCommandOutput (fallback)

→ Exit 0: app running, proceed to step 8

→ Exit 1: app failed — fix start script, re-deploy (back to step 6)

→ Exit 2: inconclusive — retry with longer --wait or suggest SSH check

7.5. Self-check summary (⛔ BLOCKING — skill fails if omitted)

MUST print the exact template below to the user — this is a completion criterion, NOT optional.

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✅ Deployment self-check report:

0. Path resolution — SKILL_DIR=___ (script exists ✅)

1. Environment pre-check — CLI v / appmanager-cli v / credentials valid ✅

2. Project obtained — (local / cloned) ✅

3. Project identified — type: ___ / deploy method source: README.md ✅

4. Deployment region — user choice: ___ ✅

5. Init + scripts — config.yaml generated; start script: ___ (key command summary) ✅

5.5. Pre-deploy price check — user confirmed price (CNY /hour, ~CNY /month) ✅

6. Deploy executed — deploy_toolkit.py deploy exit 0 ✅

7. Run verification — deploy_toolkit.py verify exit 0 / log keywords: ___ ✅

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If any item is ❌, fix it BEFORE step 8 — this is for the USER to see, proving the work is properly done.

8. Output results (MANDATORY: console link + cost reminder + management commands)

→ See references/deploy-output-and-management.md for full output format

这个 Skill 质量较高，文档完整、流程规范，安全性设计到位（严格禁止明文凭证、要求最小权限），提供了详细的部署教程和故障排查指南。主要优点是脚手架工具封装了复杂操作，降低了误用风险；不足是文档内容较多，新手需要一定时间消化。总体来说，这是一个成熟度高、实用性强的部署工具，适合有云服务使用经验的用户。